Living Labs
Mobility Lab

Testbed with special equipment for (“HPS”, HIL-PIL-SIL) modeling, simulation and testing of electronic systems in component or integration assembly, is mainly focused on advanced assistance systems and systems for autonomous driving of cars and industrial vehicles.

Industry
Services & Equipment

The lab supports advanced automotive testing, validation, and development, including functional safety and Automotive SPICE processes. Its infrastructure enables high-speed vehicle testing, smart charging, and precise energy flow monitoring for conventional, hybrid, and electric vehicles.

Our cooperation includes:

Energy flow monitoring and control

Monitoring and control of energy flows of each appliance with significant electricity consumption — HIL systems, active dynamic test room, controlled ventilation, hydraulic systems, and other technologies.

2× outdoor charging stations (2× 150 kW), 1× indoor charging station (1× 80 kW) for hybrid or electric drive.

Functional safety and standardization of development processes in the automotive industry (Automotive SPICE).

Air flow 150 km/h with volume of 50 000 m³/hour.

Equipment & facilities

Energy flow monitoring platform

Covers HIL systems, active dynamic test room, controlled ventilation, hydraulic systems, and related infrastructure.

Electric Vehicles Embedded Systems

Configuration includes 2 outdoor chargers rated at 150 kW each and 1 indoor charger rated at 80 kW, with controllable energy flows up to supercharging mode.

Electric Vehicles

Includes controlled airflow up to 150 km/h with a volume of 50 000 m3 per hour for repeatable high-load testing scenarios.

Automotive Electric Vehicles

Supports component and integration-level validation workflows for automotive and industrial vehicle systems.

Automotive Autonomous Driving Embedded Systems

Publications

Kubatko M., Bielesz D., Kirschner Š., Hamani K., Kuchař M., Mrověc T., Prazenica M.
Sensorless Direct Field-Oriented Control of Induction Motor Drive Using Artificial Neural Network-Based Reactive Power MRAS
Sensorless Direct Field-Oriented Control of Induction Motor Drive Using Artificial Neural Network-Based Reactive Power MRAS
Sensors, 25 (23), 7135, 2025.
Harach T., Šimoník P., Vrtková A., Mrověc T., Klein T., Ligori J. J., Kořený M.
Novel Method for Determining Internal Combustion Engine Dysfunctions on Platform as a Service
Novel Method for Determining Internal Combustion Engine Dysfunctions on Platform as a Service
Sensors, 23 (1), 477, 2023.

Contact Person